Image-based visual hulls

  • Authors:
  • Wojciech Matusik;Chris Buehler;Ramesh Raskar;Steven J. Gortler;Leonard McMillan

  • Affiliations:
  • Laboratory for Computer Science, Massachusetts Institute of Technology;Laboratory for Computer Science, Massachusetts Institute of Technology;Department of Computer Science, University of North Carolina, Chapel Hill;Division of Engineering and Applied Sciences, Harvard University;Laboratory for Computer Science, Massachusetts Institute of Technology

  • Venue:
  • Proceedings of the 27th annual conference on Computer graphics and interactive techniques
  • Year:
  • 2000

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Abstract

In this paper, we describe an efficient image-based approach to computing and shading visual hulls from silhouette image data. Our algorithm takes advantage of epipolar geometry and incremental computation to achieve a constant rendering cost per rendered pixel. It does not suffer from the computation complexity, limited resolution, or quantization artifacts of previous volumetric approaches. We demonstrate the use of this algorithm in a real-time virtualized reality application running off a small number of video streams.